REPOGEO REPORT · LITE
microsoft/hummingbird
Default branch main · commit eb0a2353 · scanned 5/19/2026, 2:16:47 AM
GitHub: 3,536 stars · 293 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface microsoft/hummingbird, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add ONNX and TVM to repository topics
Why:
CURRENTmachine-learning, neural-networks, pytorch, scikit-learn, tensor-computation
COPY-PASTE FIXmachine-learning, neural-networks, pytorch, scikit-learn, tensor-computation, onnx, tvm
- mediumcomparison#2Add a comparison section to the README
Why:
COPY-PASTE FIXAdd a new section to the README, e.g., 'Hummingbird vs. ONNX Runtime / skl2onnx', explaining its unique approach to compiling traditional ML models into tensor computations for deep learning frameworks, rather than just converting to ONNX.
- lowreadme#3Refine README's opening sentence
Why:
CURRENT*Hummingbird* is a library for compiling trained traditional ML models into tensor computations.
COPY-PASTE FIXHummingbird is a library designed to accelerate traditional machine learning model inference by compiling trained ML models into efficient tensor computations, leveraging deep learning frameworks like PyTorch, ONNX, and TVM.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- ONNX Runtime · recommended 1×
- skl2onnx · recommended 1×
- onnxmltools · recommended 1×
- TensorFlow · recommended 1×
- Keras · recommended 1×
- CATEGORY QUERYHow to accelerate traditional machine learning model inference using deep learning frameworks?you: not recommendedAI recommended (in order):
- ONNX Runtime
- skl2onnx
- onnxmltools
- TensorFlow
- Keras
- TensorFlow Serving
- tf2onnx
- PyTorch
- TorchScript
- NVIDIA Triton Inference Server
- Intel OpenVINO Toolkit
- Model Optimizer
AI recommended 12 alternatives but never named microsoft/hummingbird. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools convert classical machine learning models for faster tensor-based execution?you: not recommendedAI recommended (in order):
- ONNX (onnx/onnx)
- OpenVINO Toolkit (openvinotoolkit/openvino)
- TensorFlow Lite (tensorflow/tensorflow)
- TVM (apache/tvm)
- NVIDIA TensorRT (NVIDIA/TensorRT)
- Core ML
AI recommended 6 alternatives but never named microsoft/hummingbird. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of microsoft/hummingbird?passAI named microsoft/hummingbird explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts microsoft/hummingbird in production, what risks or prerequisites should they evaluate first?passAI named microsoft/hummingbird explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo microsoft/hummingbird solve, and who is the primary audience?passAI named microsoft/hummingbird explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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microsoft/hummingbird — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite